Paper Info
Title
Identification problem in plug-flow chemical reactors using the adjoint method.
Abstract
Abstract The aim of this work is to solve identification problems in plug-flow chemical reactors. For this purpose an adjoint-based algorithm for parameter identification problems in systems of partial differential equations is presented. The adjoint method allows us to calculate the gradient of the objective function and the constraint functions with respect to the unknown parameters significantly reducing the computer time. This leads to solve a minimization problem, in which an objective function is defined in order to quantify the mismatch between the observed data and the numerical solution of the parameterized chemical model. For solving the initial and boundary-value problem we use finite-difference schemes. More precisely, we propose a second-order BDF method initialized with a first-order one. The algorithm proposed was implemented in a computer program and some numerical results are shown. The efficiency of the adjoint method, compared with the classical formula of incremental quotients, is also presented.
Year
DOI
Venue
2017
10.1016/j.compchemeng.2016.11.029
Computers & Chemical Engineering
Keywords
Field
DocType
Chemical kinetics,Plug-flow reactor,Identification,Adjoint method,Integral method
Parameterized complexity,Adjoint equation,Mathematical optimization,Quotient,Computer program,Chemical reactor,Mathematics,Parameter identification problem,Plug flow reactor model,Plug flow
Journal
Volume
ISSN
Citations 
98
0098-1354
0
PageRank 
References 
Authors
0.34
6
5
Name
Order
Citations
PageRank
Alfredo Bermúdez14713.97
N. Esteban200.34
J. L. Ferrín3101.27
J. F. Rodríguez-Calo400.34
M. R. Sillero-Denamiel500.34